2014
DOI: 10.1007/s00170-014-5709-7
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Thermo-mechanical coupled 3D-FE modeling of heat rotary draw bending for large-diameter thin-walled CP-Ti tube

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Cited by 29 publications
(7 citation statements)
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“…To improve computation efficiency, the rigid body is used to model the tool geometry and the symmetric semi-tube modeling method is applied. The details such as physical properties, meshing, etc., involved in the FE modeling of heating and warm bending can be found in [ 6 ]. Here, only the material properties of CP-Ti tubular material are introduced.…”
Section: Springback Modeling For Tube Warm Bendingmentioning
confidence: 99%
See 3 more Smart Citations
“…To improve computation efficiency, the rigid body is used to model the tool geometry and the symmetric semi-tube modeling method is applied. The details such as physical properties, meshing, etc., involved in the FE modeling of heating and warm bending can be found in [ 6 ]. Here, only the material properties of CP-Ti tubular material are introduced.…”
Section: Springback Modeling For Tube Warm Bendingmentioning
confidence: 99%
“…Here, only the material properties of CP-Ti tubular material are introduced. According to [ 6 ], the true stress-strain curves of the uniform deformation stage (before necking) of the CP-Ti tube are at 25~500 °C, as shown in Figure 3 . It could be found from this figure that the CP-Ti present a significant improvement of the elongation and the uniform deformation under 150~300 °C, which could be possibly used as the temperature window for bending process.…”
Section: Springback Modeling For Tube Warm Bendingmentioning
confidence: 99%
See 2 more Smart Citations
“…Mei et al [19] proposed a heat-generating rate model of slab in induction heating from a hot rolling plant, and the temperature evolution of slab was solved by the developed FE code. Zhang et al [20] established a thermo-mechanical 3D-FE model for preheating and heat bending of largediameter thin-walled commercial pure titanium tube in terms of both accuracy and efficiency, and temperature distribution of bending tools was predicted by the developed preheating model.…”
Section: Introductionmentioning
confidence: 99%